Model predictive control for max-plus-linear discrete event systems * B. De Schutter and T. van den Boom If you want to cite this report, please use the following reference instead: B. De Schutter and T. van den Boom, " Model predictive control for max-plus-linear discrete event systems, " The conventional model predictive control framework is extended and adapted to max-plus-linear systems, i....

This paper proposes a robust control framework for power system stabilizer to improve system dynamic performance based on model predictive control (MPC). The effectiveness of the proposed power system stabilizer is validated by a simple power system composed of a synchronous generator connected to an infinite bus through a transmission line. A comparison between power system responses at variet...

In this paper we present a Model Predictive Control (MPC) approach for combined braking and steering systems in autonomous vehicles. We start from the result presented in (Borrelli et al. (2005)) and (Falcone et al. (2007a)), where a Model Predictive Controller (MPC) for autonomous steering systems has been presented. As in (Borrelli et al. (2005)) and (Falcone et al. (2007a)) we formulate an M...

This paper presents a newly proposed Model Predictive (MPC) scheme featuring Particle Swarm Optimization (PSO) technique applied to nonlinear single area Automatic Generation Control (AGC). The proposed scheme formulates the MPC as an optimization problem and PSO is used to find its solution. Single area AGC model is used and it incorporates Generation Rate Constraint (GRC) nonlinearities and c...

I am a second year graduate student pursuing my PhD in Mechanical Engineering with an emphasis in Controls. My main research interests lie in the realm of Model Predictive Control (MPC), an optimization based control technique. I am particularly interested in Distributed Model Predictive Control (DMPC), which seeks to form algorithms to split up computation of the MPC solution. I have been stud...

The aim of this paper is to analyse the dynamic properties of a Model Free Adaptive (MFA) Control, Model Predictive Control (MPC) and Proportional–Integral–Derivative (PID) Control. Usually the PID-Control as standard control method is still used in industry. From more advanced control methods MPC is used the most frequently. Properties of the MFA controller, MPC controller and the classic PID ...

AbstractIn modern power system, Static Compensator (STATCOM) is used to alleviate the transient stability problem and damping power system oscillations. In this paper different STATCOM control scheme using fuzzy logic controller (FLC) and model predictive controller (MPC) for the Single Machine Infinite Bus (SMIB) system in improving transient stability is simulated using MATLAB/ Simulink in po...

This paper describes a very detailed and comprehensive description of a model predictive controller (MPC) applied to the buck converter working in Continuous Conduction Mode (CCM) to optimize the performance of the converter. The converter is designed for a fixed switching frequency of 1 MHz. The proposed model predictive control technique achieves improved set point tracking with minimal overs...

Model Predictive Control (MPC) refers to a class of algorithms that compute a sequence of manipulated variable adjustments in order to optimize the future behaviour of a plant. MPC technology can now be found in a wide variety of application areas. The neural network predictive controller that is discussed in this paper uses a neural network model of a nonlinear plant to predict future plant pe...

In this brief, constrained multi variable model predictive control (MPC) strategy is investigated for a GE9001E gas turbine power plant. So the rotor speed and exhaust gas temperature are controlled manipulating the fuel command and compressor inlet guide vanes position. A nonlinear model is introduced using conventional mathematical models and ARX identification procedure as gas turbine plant ...